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Paper Citation Record · LEDGER

EarthNets: Empowering AI in Earth Observation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2210.04936.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2210.04936 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:27:26.139458Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T13:35:46.142258Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 43aab4db-a5c4-463e-bdf8-2b815cc304d3 · inbound

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval cites this paper.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval EarthNets: Empowering AI in Earth Observation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T09:27:26.139458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:27:26.139458Z digest=sha256:981c37e78396b43fceaeddac2ff90e03def3ea114c6643612dd2922efe3db462

Observation 7dbc0fcd-e689-4047-9c5d-a49e326489f4 · inbound

How to Embed Matters: Evaluation of EO Embedding Design Choices cites this paper.

How to Embed Matters: Evaluation of EO Embedding Design Choices EarthNets: Empowering AI in Earth Observation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:45:52.231847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T13:42:21.480105Z digest=sha256:c46311441c00bf7f97ec3c97baacc6c31087cbbe1c06fb7ad6ef5bb8a630f67d

Observation 6ce4daaf-a825-4b09-a2e3-e1016946eca4 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery EarthNets: Empowering AI in Earth Observation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.478200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T22:07:40.242567Z digest=sha256:8f0212ec7d4820f63de0de7fdc449a00ac221c9d98bf25ffa92dd4b3629b2609

Observation a953d5ca-cca0-4d0b-b698-7b6187cfefc3 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery EarthNets: Empowering AI in Earth Observation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:46.143943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T23:07:21.558834Z digest=sha256:aad1f256eb9658ff3973d768fe2f71cdbc9a6a731143b20206db2a851ea763ae

Observation 7d768e8b-9974-4dc1-83ae-5c917b365ec5 · inbound

EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation cites this paper.

EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation EarthNets: Empowering AI in Earth Observation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:43:14.865599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:41:45.660534Z digest=sha256:ec7038f8626a32df3da62bae2614b4148eb4e638086a6bf8698c402f97a10bf9

Observation 5543a981-7528-4e20-ac4c-c4a749ea6329 · inbound

OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation cites this paper.

OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation EarthNets: Empowering AI in Earth Observation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-01T10:36:36.777858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:36:36.777858Z digest=sha256:136d73f14e7af52e001a92c5039b20d4ec50df824452daa42949beaf6b34733b

Observation 6bb77416-ee2b-4e6e-a1fc-bba174aaf78d · inbound

OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation cites this paper.

OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation EarthNets: Empowering AI in Earth Observation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-04T03:22:36.500374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:22:36.500374Z digest=sha256:b32f5573790d56f9149a5b1e91874cdd1aef45ba8740eb8dee542996a7efdbf7